Labelbox
The Data-centric AI Platform
Overview
Labelbox is a data-centric AI platform that helps machine learning teams build better models, faster. The platform provides a collaborative environment for data labeling, data management, and data-driven model improvement. It supports a wide range of data types and annotation methods, and is designed to integrate seamlessly into modern MLOps pipelines.
✨ Key Features
- Collaborative data labeling for images, video, text, and geospatial data
- AI-assisted labeling tools
- Data management and curation
- Quality assurance and review workflows
- Model diagnostics and error analysis
- Python SDK and API for automation
🎯 Key Differentiators
- Strong focus on data-centric AI and model diagnostics
- Collaborative platform designed for ML teams
- Comprehensive data management and curation capabilities
Unique Value: Empowers machine learning teams to build better models by providing a collaborative platform to manage, label, and improve their training data.
🎯 Use Cases (4)
✅ Best For
- Accelerating the development of computer vision models for various industries
- Improving the quality of training data through collaborative workflows
- Enabling data-centric AI development
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Simple, one-off labeling tasks that do not require collaboration or data management features.
🏆 Alternatives
Offers more advanced data management and model diagnostic features compared to simpler annotation tools.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Limited to 5,000 annotations and 1 user
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